Case Study: National Manufacturing Company recovers $40M+ annually with dotData's AI-powered churn prediction

Multinational Industrial Supplier Saves $40M Per Year With AI-based Customer Churn Prediction

An industrial materials company, referred to as a national manufacturing company, was challenged with predicting customer churn across its 10,000+ clients after a significant pandemic-related revenue drop. Manually identifying at-risk customers from vast and complex datasets was an overwhelming and slow process. The company engaged dotData and its Managed Predictive Analytics service to address this critical need for a faster, AI-powered solution.

dotData implemented a two-step iterative analysis using its AI and machine learning software, which identified over 50 behavioral patterns indicative of churn risk. This allowed the company to score customers and target high-risk cohorts for intervention. The solution from dotData delivered profound results, recovering over $40 million in annual revenue and speeding up the analytics process by 10x, from months down to just 14 days.